What is it about?
A book chapter on how HTS data can be used to build machine learning models and how these could assist drug discovery.
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Why is it important?
We describe some literature examples of HTS efforts and databases curated around this information. We also describe computational tools for data mining. We focus on some literature kinase datasets to show how the Bayesian approach can be used.
Perspectives
I think we show some nice examples of how public datasets can be put to good use and demonstrate how one kinase dataset / model can predict another from a different lab.
Dr Sean Ekins
Collaborations in Chemistry
Read the Original
This page is a summary of: Data Mining and Computational Modeling of High-Throughput Screening Datasets, January 2018, Springer Science + Business Media,
DOI: 10.1007/978-1-4939-7724-6_14.
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